ComfyUI Node: 超大分类器函数(classify_function_plus)

超大分类器函数(classify_function_plus):

The classify_function_plus node is designed to process and classify text input, providing up to ten distinct responses based on the content of the text. This node is particularly useful for AI artists who need to categorize or segment text data into multiple parts for further analysis or creative processing. By leveraging regular expressions, the node splits the input text into different segments, ensuring that each segment is appropriately classified and returned. This functionality is especially beneficial for tasks that require detailed text analysis and segmentation, enabling you to handle complex text data more efficiently.

超大分类器函数(classify_function_plus) Input Parameters:

is_enable

This parameter is a boolean that determines whether the node is active or not. When set to True, the node processes the input text and returns the classified segments. If set to False, the node will not perform any processing and will return None. The default value is True.

text

This parameter is a string that represents the text input to be classified. The text should be formatted in a way that the node can effectively split it into different segments using regular expressions. This parameter is required and must be provided for the node to function correctly.

超大分类器函数(classify_function_plus) Output Parameters:

response1

This output parameter contains the first segment of the classified text. If the first segment is empty or contains the word "empty", it will return None.

response2

This output parameter contains the second segment of the classified text. If the second segment is empty or contains the word "empty", it will return None.

response3

This output parameter contains the third segment of the classified text. If the third segment is empty or contains the word "empty", it will return None.

response4

This output parameter contains the fourth segment of the classified text. If the fourth segment is empty or contains the word "empty", it will return None.

response5

This output parameter contains the fifth segment of the classified text. If the fifth segment is empty or contains the word "empty", it will return None.

response6

This output parameter contains the sixth segment of the classified text. If the sixth segment is empty or contains the word "empty", it will return None.

response7

This output parameter contains the seventh segment of the classified text. If the seventh segment is empty or contains the word "empty", it will return None.

response8

This output parameter contains the eighth segment of the classified text. If the eighth segment is empty or contains the word "empty", it will return None.

response9

This output parameter contains the ninth segment of the classified text. If the ninth segment is empty or contains the word "empty", it will return None.

response10

This output parameter contains the tenth segment of the classified text. If the tenth segment is empty or contains the word "empty", it will return None.

超大分类器函数(classify_function_plus) Usage Tips:

• Ensure that the input text is formatted correctly to allow effective segmentation by the node. Use clear delimiters that the regular expression can recognize.
• Utilize the is_enable parameter to control the node's activity, especially when you need to temporarily disable text classification without removing the node from your workflow.
• Review the output parameters to understand how the text has been segmented and classified, and adjust your input text formatting if necessary to achieve the desired segmentation.

超大分类器函数(classify_function_plus) Common Errors and Solutions:

"Input text is not provided"

• Explanation: This error occurs when the text parameter is not provided.
• Solution: Ensure that you provide a valid string input for the text parameter.

"Node is disabled"

• Explanation: This error occurs when the is_enable parameter is set to False.
• Solution: Set the is_enable parameter to True to enable the node and allow it to process the input text.

"Output segment is empty"

• Explanation: This error occurs when one of the output segments is empty or contains the word "empty".
• Solution: Check the input text formatting to ensure that each segment contains valid content. Adjust the text as needed to avoid empty segments.